Senior Post-Sales Machine Learning Engineer, Hugging Face
More information about location
Community-driven platform for ML models
Job no longer available
Community-driven platform for ML models
501-1000 employees
Job no longer available
More information about location
501-1000 employees
Company mission
Hugging Face is on a mission to democratize good machine learning, one commit at a time.
Role
Who you are
- Experience building NLP/Vision solutions. We need people to hit the ground running and this position is not intended to train someone in the fundamentals of ML. You should understand the ML Lifecycle and basics of cloud infrastructure
- Experience with the transformers library. Our customers come to us for our experience with transformers. We expect you to already have good proficiency with transformers and you will quickly become an expert
- Self-starter: We need people that can tackle hard problems independently. While there are plenty of gracious smart people that are eager to collaborate within Hugging Face, we are looking for people who are scrappy, self-motivated, and resourceful
- Attention to detail: Will you write a meaningful paragraph for why you want to work at Hugging Face that touches upon what we are looking for?
- Customer relationship builder: We want people who are excited to build relationships with customers and help them succeed. This isn’t a role for a heads-down coder. You will be collaborating and providing value to our customer’s ML teams
- Great communicator: Can you explain how you solved a problem to someone that isn’t technical? This role involves talking to a variety of roles from C-level executives, to domain experts, and IT professionals
- Coding: You should be comfortable writing code scripts and notebooks on transformers/ML Ops use cases that will be reused by the customers
- Learn quickly: The field and company are both moving very fast: new breakthroughs in the AI/ML space come out practically every week, and Hugging Face is constantly adding new packages to the open-source community, contributing to open-science, and building more enterprise products. We want someone that enjoys learning about state-of-the-art developments and sharing them with customers
- If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact
What the job involves
- In order to be effective in this role, the Senior Post-Sales ML Engineer needs to be credible and relevant when discussing the applications of transformers and diffusers models to the customer business, understand the work being done by MLEs and translate it into value for the customer business, representing accurately the business opportunities corresponding to the latest models and innovations shipped by the Hugging Face teams - without the need for a “technical” person to break it down for them
- Empathize with our customers to understand their issues and goals when using transformers (NLP and Vision primarily)
- Have the scrappiness and be excited to solve customer problems through research, coding up a solution, or talking to our many in-house experts
- Build meaningful relationships with our customers and understand their goals
- Comfortably explain complex concepts to both technical and non-technical audiences
- Constantly be learning and sharing your knowledge with our customers
Our take
Large language models, which recognise and generate text, are already being used to auto-complete sentences, power chatbots, moderate content, summarise news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethical concerns.
To combat this, Hugging Face is building the "GitHub of machine learning". It’s a community-driven platform with a ton of repositories, where developers can create, discover and collaborate on ML models, datasets and ML apps. This work led to the creation of BLOOM in 2022, an open-access LLM with similar architecture to OpenAI’s GPT, but that is multilingual by design.
The company also launched the Hugging Chat Assistant, an open-source tool creating personalised chat assistants, in direct competition with OpenAI's paid service ChatGPT Plus. By continually creating value based on a global community, not just for Microsoft or Google, HuggingFace should be able to carve out its own path for success.
Freddie
Company Specialist at Welcome to the Jungle
Insights
36% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Aug 2023
$235m
SERIES D
May 2022
$100m
SERIES C
Total funding: $395.8m
Company benefits
- Flexible Work Environment
- Health Insurance
- Unlimited PTO
- Equity
- Growth, Training, & Conferences
- Generous Parental Leave
Company HQ
Dumbo, NY
Leadership
Clem Delangue
(Co-Founder & CEO)Created Moodstocks, a startup building machine learning for computer vision acquired by Google. Also built Mention where they were head of Product and CMO until the company was acquired by MyNewsDesk.
Julien Chaumond
(Co-Founder & CTO)Former advisor for the Deputy Minister for Digital Affairs in Paris, and Senior engineer for Stupefix app that was acquired by GoPro. Also co-founded and was CTO of Glose.
Thomas Wolf
(Co-Founder & CSO)After graduating from Ecole Polytechnique, they worked on laser-plasma interactions at the BELLA Center of the Lawrence Berkeley National Laboratory. Also worked as a European Patent Attorney for 5 years.
Share this job
View 3 more jobs at Hugging Face